Uncontrolled Resource ConsumptionWeakness · CWE-400

CVE-2026-42343

MEDIUM · 6.3 CVSS v4.0 Published 2026-05-08
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
72/100
Remediation priority · Elevated
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
FastGPT is an AI Agent building platform. In versions 4.14.13 and prior, the code-sandbox component suffers from insufficient resource isolation and uncontrolled resource consumption. The service relies solely on an application-level soft limit (a 500ms polling interval) for memory management and lacks strict OS-level constraints such as cgroups or kernel-level namespaces. This architectural weakness allows attackers to easily bypass memory checks via time-window attacks, or exhaust the entire JavaScript worker pool via concurrent CPU-intensive requests, resulting in a complete Denial of Service (DoS) for legitimate users. At time of publication, there are no publicly available patches.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

FastGPT's code-sandbox component lacks OS-level resource isolation, relying only on an application-level 500ms polling interval for memory management. Attackers can exploit time-window attacks to bypass memory checks or exhaust the JavaScript worker pool through concurrent CPU-intensive requests, causing complete DoS for legitimate users.

MitigationImplement OS-level resource constraints using cgroups, kernel namespaces, or a containerized sandbox architecture to enforce hard limits on memory and CPU per worker. Add request rate limiting and queue management to prevent worker pool exhaustion.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
Authentication
X
User interaction
None
Scope
X

CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify FastGPT version
    Locate the FastGPT installation and retrieve its version number (typically found in package.json, version file, or via CLI version command)
    Affected if The installed version is 4.14.13 or prior
  2. Confirm code-sandbox component is active
    Verify that the code-sandbox feature is enabled in FastGPT configuration or actively used in the deployment
    Affected if The code-sandbox component is in use and the version is 4.14.13 or prior
  3. Inspect OS-level resource isolation
    Check if cgroups, namespaces, or other OS-level containerization features are configured for the sandbox environment (examine container runtime config, cgroup settings, or namespace boundaries)
    Affected if OS-level resource isolation (cgroups/namespaces) is not configured for the sandbox
  4. Review application polling configuration
    Examine FastGPT configuration files or code for the 500ms memory polling interval implementation in the sandbox component
    Affected if The system relies solely on application-level polling without OS-level hard limits

A user is affected if FastGPT version 4.14.13 or prior is running with the code-sandbox enabled and without OS-level resource isolation (cgroups/namespaces) in place.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Implement OS-level resource constraints using cgroups, kernel namespaces, or a containerized sandbox architecture to enforce hard limits on memory and CPU per worker. Add request rate limiting and queue management to prevent worker pool exhaustion.

Have this fixed Scoped from the published advisory
  • Consultation8.0 h
  • Implementation24.0 h
  • Testing12.0 h
  • Review / QA6.0 h
50.0 hours of engineering $8,800
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Scan for this in your stack

Free · runs locally
dbcve dependency scanner

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-42343 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data